Q matrices for various formulations

struct region_pair Represents a pair of ER's

SVM training parameters

struct region_sequence Represents a sequence of more than three ER's

Kernel Cache l is the number of total data items size is the cache size limit in bytes

dummy classifier

ERFeatures structure stores additional features for a given ERStat instance

Kernel evaluation the static method k_function is for doing single kernel evaluation the constructor of Kernel prepares to calculate the l*l kernel m

////////////////////////////////// SVM kernel ///////////////////////////////////////

An SMO algorithm in Fan et al., JMLR 6(2005), p. 1889--1918 Solves: min 0.5(\alpha^T Q \alpha) + p^T \alpha y^T \alpha = \delta y_i = +1 or -1 0 <=

Solver for nu-svm classification and regression additional constraint: e^T \alpha = constant

The result of the hierarchical clustering algorithm

decision_function

This class handles all the information about the dissimilarity computation. */

Class for a doubly linked list

text::erGrouping operation modes

struct line_estimates Represents a line estimate (as above) for an ER's group i.e.: slope and intercept of 2 top and 2 bottom lines

Hierarchical Clustering linkage variants

A node in the hierarchical clustering algorithm

struct region_triplet Represents a triplet of ER's

svm_model

Lookup function for a union-find data structure. The function finds the root of idx by going iteratively through all parent elements until a root